{"id":"W7028458849","doi":"","title":"Failure modes and mechanisms in gray cast iron pipe","year":2001,"lang":"en","type":"article","venue":"NPARC","topic":"Water Systems and Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; University of Toronto","keywords":"Cast iron; Water pipe; Mains electricity; Pipe; Gray iron; Canalisation; Failure mode and effects analysis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000552057,0.0004179661,0.0002792999,0.001913587,0.0004862002,0.0003754264,0.0005813011,0.0006365424,0.001007824],"category_scores_gemma":[0.001401454,0.0003167321,0.0002929028,0.0004735511,0.001347005,0.0003959453,0.0003728308,0.0002245778,0.0001445157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004666089,"about_ca_system_score_gemma":0.0002794482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009295743,"about_ca_topic_score_gemma":0.004508061,"domain_scores_codex":[0.999805,0.00002704976,0.000009563573,0.00002344125,0.00008988933,0.00004513213],"domain_scores_gemma":[0.9991623,0.0002923299,0.0002680867,0.0000807629,0.0001465158,0.00004993465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001443972,0.0003232462,0.1200276,0.000497459,0.0001063859,0.005082567,0.0043797,0.5929478,0.08549508,0.06987273,0.004393527,0.11543],"study_design_scores_gemma":[0.00005440256,0.0004150572,0.07482502,0.0000565941,0.00004609153,0.001343937,0.001002776,0.8819047,0.01141477,0.0268604,0.001981932,0.00009434747],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684004,0.0006181814,0.02738362,0.0001042109,0.000009497742,0.00003661515,0.00007633233,0.0002209057,0.003150256],"genre_scores_gemma":[0.9976003,0.00009402532,0.001281127,0.000003582304,0.000002962429,0.000008678113,0.0000234154,0.00000498752,0.0009808791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009295743,"threshold_uncertainty_score":0.01848322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00599468628424924,"score_gpt":0.1730826308286041,"score_spread":0.1670879445443549,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}